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Head Of Fraud Risk Jobs in Springfield, PA (NOW HIRING)

Provide credible challenge and oversight of fraud risk management activities across the ... organization. * Monitor regulatory developments and assess impacts to policies, controls ...

Head of Internal Audit

Media, PA ยท Hybrid

$87K - $113K/yr

... fraud, and abuse, and promoting accountability and transparency throughout Delaware County ... Develop and maintain a comprehensive, risk-based annual audit plan aligned with the Controller ...

... risk-informed decisions. Within GR&S, the Enterprise Security and Fraud (ES&F) sub-division is responsible for the global protection of Vanguard crew, property, data, and client assets. We are the ...

Head of Internal Audit

Media, PA ยท On-site

$87K - $113K/yr

... fraud, and abuse, and promoting accountability and transparency throughout Delaware County ... Develop and maintain a comprehensive, risk-based annual audit plan aligned with the Controller ...

Head of Risk & Trading

Philadelphia, PA ยท On-site +1

$100K - $150K/yr

Risk Management : Develop and implement comprehensive risk management frameworks and strategies ... The privacy and security of applicant information is paramount and we take fraud attempts very ...

Head of Risk & Trading

Philadelphia, PA ยท On-site +1

$100K - $150K/yr

Risk Management : Develop and implement comprehensive risk management frameworks and strategies ... The privacy and security of applicant information is paramount and we take fraud attempts very ...

Head of Risk & Trading

Philadelphia, PA ยท Remote

$100K - $150K/yr

Risk Management : Develop and implement comprehensive risk management frameworks and strategies ... The privacy and security of applicant information is paramount and we take fraud attempts very ...

Educating employees on the use of performance metrics and tools to bolster financial performance and fraud risk management * Cultivating a positive work environment by promoting open communication ...

Showing results 21-40

Head Of Fraud Risk information

See Springfield, PA salary details

$50.9K

$135.1K

$245.3K

How much do head of fraud risk jobs pay per year?

As of Sep 12, 2026, the average yearly pay for head of fraud risk in Springfield, PA is $135,074.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $158,000.00 per year, depending on experience, location, and employer.

What does a head of fraud risk do?

A Head of Fraud Risk is responsible for overseeing an organizationโ€™s strategies and operations to prevent, detect, and manage fraud. They lead teams that analyze data, identify risks, and implement controls to protect the company from fraudulent activities. Their duties also include developing policies, ensuring regulatory compliance, and collaborating with other departments to respond to emerging threats. Ultimately, their goal is to minimize financial loss and safeguard the organizationโ€™s reputation.

What are the key skills and qualifications needed to thrive as a head of fraud risk, and why are they important?

To thrive as a Head Of Fraud Risk, you need deep expertise in risk management, data analytics, and fraud prevention strategies, typically supported by a background in finance, business, or a related field. Proficiency with fraud detection platforms, data analysis tools like SQL or Python, and relevant certifications such as CFE (Certified Fraud Examiner) are highly valued. Strong leadership, strategic thinking, and effective communication skills are essential for guiding teams and influencing organizational policy. These abilities are crucial to proactively identify, mitigate, and manage fraud risks, safeguarding the organizationโ€™s assets and reputation.

How does the head of fraud risk collaborate with other departments to develop and implement effective fraud prevention strategies?

The Head of Fraud Risk works closely with teams across the organization, including compliance, IT, legal, and operations, to develop comprehensive fraud prevention strategies. They regularly coordinate with these departments to identify vulnerabilities, share intelligence on emerging threats, and ensure that controls are effectively integrated into business processes. Collaboration often involves leading cross-functional meetings, conducting joint risk assessments, and providing training or guidance on fraud awareness. This teamwork is essential for creating a unified approach to mitigating fraud risk and responding swiftly to incidents.

What is the difference between Head Of Fraud Risk vs Fraud Analyst?

AspectHead Of Fraud RiskFraud Analyst
Required CredentialsAdvanced degrees, certifications like CFE or CPA, leadership experienceBachelor's degree, certifications like ACFE or relevant training
Work EnvironmentStrategic planning, team leadership, cross-department collaborationData analysis, investigation, reporting
Employer & Industry UsageFinancial institutions, e-commerce, large corporationsBanking, retail, online platforms

The Head Of Fraud Risk oversees the entire fraud prevention strategy, managing teams and setting policies, while the Fraud Analyst focuses on investigating fraud cases and analyzing data. Both roles require relevant certifications, but the Head Of Fraud Risk operates at a strategic level, whereas the Fraud Analyst is more hands-on with daily investigations.

What cities near Springfield, PA are hiring for Head Of Fraud Risk jobs?

Cities near Springfield, PA with the most Head Of Fraud Risk job openings:

Senior Modelling/Forecasting Analyst - Fraud Risk Analytics, AI

Mount Laurel Township, NJ โ€ข On-site

Other

Posted 7 days ago


Job description

  • Provide analytical, technical, reporting, and process support for the US Fraud, Insider and Conduct Risk Oversight team
  • Develop and maintain repeatable reporting, analytics, dashboarding, and workflow routines
  • Translate fraud risk, control, issue, and governance information into insights for management review and second-line oversight
  • Gather, structure, validate, visualize, and summarize risk, control, issue, policy, procedure, and operating process data
  • Support use and oversight of AI, including GenAI and emerging automation capabilities
  • Document AI use cases, assess outputs, summarize key risks, and maintain evidence of review, challenge, transparency, and controls
  • Act as a subject matter expert and process reference within the area of specialization
  • Solve complex, non-routine issues and escalated matters independently end-to-end
  • Work with business owners to identify opportunities and promote data modelling
  • Translate business requirements into technical requirements
  • Manage core bank and source systems, data, and metadata to support business needs
  • Develop and design data solutions; review data models and outputs to validate information quality
  • Collaborate with data scientists, business process owners, visualization experts, and cross-functional teams
  • Design and deliver enterprise analytic solutions
  • Conduct research, analysis, presentations, and communications for management and broader audiences
  • Make recommendations and assess program, policy, and practice effectiveness
  • Monitor service, productivity, and efficiency; implement continuous process improvements
  • Lead or facilitate action and remediation plans for performance, risk, and governance issues
  • Manage relationships across business lines and control functions
  • Monitor emerging issues, trends, and regulatory requirements
  • Maintain risk management and control processes aligned with risk appetite
  • Participate in team development, knowledge transfer, mentoring, and stakeholder relationship building
Requirements
  • Undergraduate degree or advanced technical degree preferred, such as math, physics, engineering, finance, or computer science
  • Graduate's degree preferred with either progressive project work experience, or 3+ year of relevant experience; higher degree education and research tenure can be counted
  • Hands-on experience developing dashboards, data models, reporting routines, or scorecards using Power BI or comparable business intelligence tools
  • Experience with Power Apps, workflow tools, low-code / no-code solutions, or process automation
  • Familiarity with eGRC platforms or control, issue, policy, procedure, and risk data
  • Exposure to AI, GenAI, machine learning, analytics automation, or AIโ€‘assisted reporting
  • Understanding of AI governance concepts, including explainability, output validation, human review, responsible use, data quality, transparency, bias, and model risk
  • Experience in fraud risk, financial crime, operational risk, insider risk, conduct risk, or banking
  • Experience documenting processes, data flows, business requirements, assumptions, limitations, controls, and review evidence
  • Strong PowerPoint and storytelling capability
  • Technical aptitude and ability to learn new tools and simplify manual processes
  • Ability to perform sedentary work and operate standard office equipment
  • Ability to perform multiple tasks and concentrate for long periods
  • Ability to read, write, comprehend instructions, and perform basic arithmetic
Core Competencies

Demonstrates expertise in fraud risk management, data analytics, and AI governance, with a strong ability to develop and maintain reporting and dashboard solutions. Capable of translating complex business requirements into actionable insights while fostering collaboration across cross-functional teams.

Highest-signal resume keywords
  • Fraud Risk Management
  • Data Analytics
  • Power BI Dashboard Development
  • AI Governance Concepts
  • Process Automation
ATS Optimization Keywords Hard Skills
  • Data Modeling
  • Reporting Routines
  • Analytics Automation
  • Machine Learning
  • Business Intelligence Tools
  • Documentation of Processes
  • Data Quality Validation
  • Risk Management
  • Continuous Process Improvement
  • Technical Requirements Translation
Soft Skills
  • Storytelling Capability
  • Collaboration
  • Problem Solving
  • Mentoring
  • Stakeholder Relationship Building
Industry Keywords
  • Operational Risk
  • Financial Crime
  • Conduct Risk
  • Insider Risk
  • Regulatory Requirements
Tools & Technologies
  • Power Apps
  • eGRC Platforms
  • Low-Code Solutions
  • No-Code Solutions
  • Visualization Tools
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